Evidence map›Paper›PMID 37856511›Full record

ArticlePloS one2023

Littoral sediment arsenic concentrations predict arsenic trophic transfer and human health risk in contaminated lakes.

Erin A Hull, Rebekah R Stiling, Marco Barajas, Rebecca B Neumann, Julian D Olden, James E Gawel

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.8field-weighted citation impact, top 29% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 6 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Erin A HullEnvironmental Sciences, School of Interdisciplinary Arts and Sciences, University of Washington Tacoma, Tacoma, Washington, United States of America.
Rebekah R StilingWater and Land Resources Division, King County Department of Natural Resources and Parks, Seattle, Washington, United States of America.
Marco BarajasEnvironmental Sciences, School of Interdisciplinary Arts and Sciences, University of Washington Tacoma, Tacoma, Washington, United States of America.
Rebecca B NeumannDepartment of Civil and Environmental Engineering, University of Washington, Seattle, Washington, United States of America.
Julian D OldenSchool of Aquatic and Fishery Sciences, University of Washington, Seattle, Washington, United States of America.
James E GawelEnvironmental Sciences, School of Interdisciplinary Arts and Sciences, University of Washington Tacoma, Tacoma, Washington, United States of America.ORCID 0000-0002-1595-3678
University of Washington Tacoma · USUniversity of Washington · USKing County Department of Natural Resources and Parks · US

Funding

WILDLIFE BIOMARKER APPLICATIONS TO REMEDIATION DECISION MAKINGP42ES004696 · NIEHS · UNIVERSITY OF WASHINGTON · PI FURLONG, CLEMENT EUGENE · 1987 to 2021
$51.2M
NIEHS NIH HHS P42 ES004696
6 · The paper itself

Abstract

Lake sediments store metal contaminants from historic pesticide and herbicide use and mining operations. Historical regional smelter operations in the Puget Sound lowlands have resulted in arsenic concentrations exceeding 200 μg As g-1 in urban lake sediments. Prior research has elucidated how sediment oxygen demand, warmer sediment temperatures, and alternating stratification and convective mixing in shallow lakes results in higher concentrations of arsenic in aquatic organisms when compared to deeper, seasonally stratified lakes with similar levels of arsenic pollution in profundal sediments. In this study we examine the trophic pathways for arsenic transfer through the aquatic food web of urban lakes in the Puget Sound lowlands, measuring C and N isotopes-to determine resource usage and trophic level-and total and inorganic arsenic in primary producers and primary and secondary consumers. Our results show higher levels of arsenic in periphyton than in other primary producers, and higher concentrations in snails than zooplankton or insect macroinvertebrates. In shallow lakes arsenic concentrations in littoral sediment are similar to deep profundal sediments due to arsenic remobilization, mixing, and redeposition, resulting in direct arsenic exposure to littoral benthic organisms such as periphyton and snails. The influence of littoral sediment on determining arsenic trophic transfer is evidenced by our results which show significant correlations between total arsenic in littoral sediment and total arsenic in periphyton, phytoplankton, zooplankton, snails, and fish across multiple lakes. We also found a consistent relationship between percent inorganic arsenic and trophic level (determined by δ15N) in lakes with different depths and mixing regimes. Cumulatively, these results combine to provide a strong empirical relationship between littoral sediment arsenic levels and inorganic arsenic in edible species that can be used to screen lakes for potential human health risk using an easy, inexpensive sampling and analysis method.

Indexed as

ArsenicWater Pollutants, ChemicalAnimalsEnvironmental MonitoringFood ChainHumansLakesMetalsZooplanktonArsenicMetalsWater Pollutants, Chemical

Identifiers

PMID37856511
PMCPMC10586660
OpenAlexW4387772545

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.